MLJGaussianProcesses.jl is a package for using Gaussian Processes in MLJ based on the Gaussian Process implementation from the JuliaGPs group. The current implementation provides a probabilistic model GPR (for Gaussian Process Regressor) with support for custom mean functions and kernel functions from KernelFunctions.jl.
- Popularity
- 1 Star
- Updated Last
- 1 Year Ago
- Started In
- November 2022
Required Packages
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AbstractFFTs
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AbstractGPs
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Adapt
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AliasTables
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ArgTools
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BenchmarkTools
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BitFlags
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CEnum
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ChainRules
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ChainRulesCore
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ChangesOfVariables
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CodecBzip2
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CodecZlib
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Colors
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ColorSchemes
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ColorTypes
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ColorVectorSpace
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CommonSubexpressions
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Compat
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CompositionsBase
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ConcurrentUtilities
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ConstructionBase
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Contour
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DataAPI
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DataStructures
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DataValueInterfaces
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DelimitedFiles
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DensityInterface
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DiffResults
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DiffRules
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Distances
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Distributed
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Distributions
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DocStringExtensions
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Downloads
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ExceptionUnwrapping
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FFMPEG
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FillArrays
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FiniteDiff
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FixedPointNumbers
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Format
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ForwardDiff
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Functors
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KernelFunctions
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MLJModelInterface
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Optim
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ParameterHandling
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Zygote
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